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  3. CON 7400V

White graduation cap icon CON 7400V  Statistics


This course is being piloted for direct registration via DAU Virtual Campus (CSOD). Click on "Apply for this training" button in the upper right-hand corner to register for an offering.

This virtual instructor-led training (VILT) course introduces the learner to the steps for organizing, sampling, normalizing, and performing statistical and visual analysis of one-variable data sets. Do you want to pick up a few Excel tips about tables, functions, graphics, and the Excel tool pack? Do you need to reduce that bill of materials down to a manageable task? Do you need a reminder about the importance of making “apples-to-apples” comparisons? Perhaps you need to describe the most likely value in your data, or address how much variability is in your government objective. Would you like to know about identifying and investigating outliers in the data? Are you interested in some practical applications of probability? Come to this class and learn what those numbers are trying to tell you!

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Designed for both the novice who wants an introduction to data analysis and the journeyperson who wants both a refresher and to dig a little deeper into the numbers


  • Foreign National Students will need to contact their Country Program Manager (CPM) who will coordinate with the Security Assistance Training Field Activity (SATFA). For additional information, please send an email to [email protected].
Additional Information:
  • Virtual classes are conducted in MS Teams.
  • All times are in the local time zone of the DAU region assigned to teach the offering.
  • Students are required to test connectivity with DAU IT prior to the class start date.
  • This course will consist of synchronous and asynchronous portions. There are two synchronous portions held Wednesday and Thursday.
  • DAU does not reimburse student phone/internet charges.
  • The CLPs assigned to this learning activity may be used to meet professional certification and/or licensure requirements (PDUs/CPE credits).